{"title":"The miR396a–SlGRF8 module regulates sugar accumulation in the roots via SlSTP10 during the interaction between root-knot nematodes and tomato plants","authors":"Lulu Sun, Mengting Zhu, Xiaoxuan Zhou, Ruiyue Gu, Yuying Hou, Tongtong Li, Huang Huang, Rui Yang, Shaohui Wang, Wenchao Zhao","doi":"10.1111/jipb.13794","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>Root-knot nematodes (RKNs; <i>Meloidogyne</i> spp.) are a serious threat to crop production. The competition between plants and pathogens for assimilates influences the outcome of their interactions. However, the mechanisms by which plants and nematodes compete with each other for assimilates have not been elucidated. In this study, we demonstrated that miR396a plays a negative role in defense against RKNs and a positive role in sugar accumulation in tomato roots. The overexpression of <i>SlGRF8</i> (<i>Solanum lycopersicum growth-regulating factor 8</i>), the target of miR396a, decreased the sugar content of the roots and the susceptibility to RKNs, whereas the <i>grf8-cr</i> mutation had the opposite effects. Furthermore, we confirmed that SlGRF8 regulated the sugar content in roots by directly activating the transcription of <i>SlSTP10</i> (<i>Solanum lycopersicum sugar transporter protein 10</i>) in response to RKN stress. Moreover, <i>SlSTP10</i> was expressed primarily in the tissues surrounding giant cells, and the <i>SlSTP10</i> knockout increased both the sugar content in the roots and the plant's susceptibility to RKNs. Overall, this study provides important insight into the molecular mechanism through which the miR396a-SlGRF8-SlSTP10 module regulates sugar allocation in roots under RKN stress.</p></div>","PeriodicalId":195,"journal":{"name":"Journal of Integrative Plant Biology","volume":"66 12","pages":"2701-2715"},"PeriodicalIF":9.3000,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jipb.13794","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Integrative Plant Biology","FirstCategoryId":"99","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/jipb.13794","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Root-knot nematodes (RKNs; Meloidogyne spp.) are a serious threat to crop production. The competition between plants and pathogens for assimilates influences the outcome of their interactions. However, the mechanisms by which plants and nematodes compete with each other for assimilates have not been elucidated. In this study, we demonstrated that miR396a plays a negative role in defense against RKNs and a positive role in sugar accumulation in tomato roots. The overexpression of SlGRF8 (Solanum lycopersicum growth-regulating factor 8), the target of miR396a, decreased the sugar content of the roots and the susceptibility to RKNs, whereas the grf8-cr mutation had the opposite effects. Furthermore, we confirmed that SlGRF8 regulated the sugar content in roots by directly activating the transcription of SlSTP10 (Solanum lycopersicum sugar transporter protein 10) in response to RKN stress. Moreover, SlSTP10 was expressed primarily in the tissues surrounding giant cells, and the SlSTP10 knockout increased both the sugar content in the roots and the plant's susceptibility to RKNs. Overall, this study provides important insight into the molecular mechanism through which the miR396a-SlGRF8-SlSTP10 module regulates sugar allocation in roots under RKN stress.
期刊介绍:
Journal of Integrative Plant Biology is a leading academic journal reporting on the latest discoveries in plant biology.Enjoy the latest news and developments in the field, understand new and improved methods and research tools, and explore basic biological questions through reproducible experimental design, using genetic, biochemical, cell and molecular biological methods, and statistical analyses.